Abstract
In this paper, the cognitive radio sensor node can harvest energy from the radio frequency signal which is transmitted by the primary user. A time switching protocol was used to divide cognitive users’ time into three phases: spectrum sensing mode, energy harvesting mode and data transmission mode. Therefore, the optimal energy harvesting mode time selection is a question to be solved. We consider a non-cooperative game model in which cognitive users are regarded as selfish players aiming to maximize their own energy efficiency. Then we prove the existence and uniqueness of Nash Equilibrium. A distributed best response algorithm is used to obtain the Nash Equilibrium. The simulation results prove that this algorithm can converge to the same equilibrium from different initial values. At last, we analysis the influence of various system parameters on the results of Nash Equilibrium and energy efficiency.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China (No. 61571059), and the State Major Science and Technology Special Projects of China under Grant 2016ZX03001017-004.
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Zhao, M., Wei, Y., Li, Q., Song, M., Liu, N. (2018). Energy Harvesting Time Coefficient Analyze for Cognitive Radio Sensor Network Using Game Theory. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_35
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DOI: https://doi.org/10.1007/978-3-319-74521-3_35
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